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Related Experiment Video

Updated: Jul 12, 2026

Industrialized, Artificial Intelligence-guided Laser Microdissection for Microscaled Proteomic Analysis of the Tumor Microenvironment
13:01

Industrialized, Artificial Intelligence-guided Laser Microdissection for Microscaled Proteomic Analysis of the Tumor Microenvironment

Published on: June 3, 2022

A guide to laser microdissection-based proteomics.

Cheng Shen1,2, Kael Schoffer1,2, Charlotte Williams1,2

  • 1Walter and Eliza Hall Institute of Medical Research, Parkville, Australia.

The FEBS Journal
|July 10, 2026
PubMed
Summary
This summary is machine-generated.

Laser microdissection-based proteomics offers spatially resolved tissue analysis. Advances in technology now enable single-cell and subcellular proteome mapping for detailed biological insights.

Keywords:
Deep Visual ProteomicsFFPE tissuelaser microdissectionmass spectrometrysingle‐cell proteomicsspatial proteomics

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RNA Isolation from Cell Specific Subpopulations Using Laser-capture Microdissection Combined with Rapid Immunolabeling
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Last Updated: Jul 12, 2026

Industrialized, Artificial Intelligence-guided Laser Microdissection for Microscaled Proteomic Analysis of the Tumor Microenvironment
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Industrialized, Artificial Intelligence-guided Laser Microdissection for Microscaled Proteomic Analysis of the Tumor Microenvironment

Published on: June 3, 2022

Laser Microdissection-Based Protocol for the LC-MS/MS Analysis of the Proteomic Profile of Neuromelanin Granules
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RNA Isolation from Cell Specific Subpopulations Using Laser-capture Microdissection Combined with Rapid Immunolabeling
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RNA Isolation from Cell Specific Subpopulations Using Laser-capture Microdissection Combined with Rapid Immunolabeling

Published on: April 11, 2015

Area of Science:

  • Proteomics
  • Molecular Biology
  • Biotechnology

Background:

  • Laser microdissection (LMD) enables precise isolation of cells/tissues.
  • Proteomics aims to comprehensively study protein expression and function.
  • Integrating LMD with mass spectrometry enhances spatial proteomic analysis.

Purpose of the Study:

  • To review the current state of LMD-based proteomics.
  • To outline the capabilities and workflows of LMD-proteomics.
  • To guide the selection of applications and instrumentation for specific biological questions.

Main Methods:

  • Review of recent advances in histology, image analysis, LMD, and mass spectrometry.
  • Examination of established and emerging LMD-proteomics workflows.
  • Discussion of instrumentation and application suitability.

Main Results:

  • LMD-proteomics capabilities have significantly advanced.
  • Workflows now span regional tissue analysis to single-cell applications.
  • Subcellular proteome mapping is an emerging frontier.

Conclusions:

  • LMD-based proteomics is a powerful tool for spatially resolved proteome profiling.
  • The technology offers diverse applications from tissue to single-cell levels.
  • Understanding workflow strengths and limitations is crucial for successful implementation.